Detail publikace

Automation of calibration process adopting metaheuristic optimization method

KOUDELA, P. CHALMOVSKÝ, J.

Originální název

Automation of calibration process adopting metaheuristic optimization method

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Optimization procedures offer a possibility for time-effective determination of input parameters values for complex soil constitutive models. The following paper presents a combination of the metaheuristic Particle swarm optimization method (PSO) and commercially available solver based on the finite element method (FEM). After the brief theoretical description, different alternatives to the PSO method are reviewed and tested. An optimal alternative is chosen and further used. In the second part of the paper, the combination PSO – FEM is utilized for a fully automatic derivation of input parameters values for the Hardening small strain model from pressuremeter tests. Predicted pressurevolume curves from the axisymmetric FE model gradually converge towards the measured curve until the accuracy criterion is reached.

Klíčová slova

particle swarm optimization, pressuremeter test, advanced soil constitutive model

Autoři

KOUDELA, P.; CHALMOVSKÝ, J.

Vydáno

3. 12. 2019

Nakladatel

VGTU Press

Místo

Vilnius

ISBN

978-609-476-197-3

Kniha

MODERN BUILDING MATERIALS, STRUCTURES AND TECHNIQUES MBMST 2019

ISSN

2029-9915

Periodikum

Modern Building Materials, Structures and Techniques

Stát

Litevská republika

Strany od

379

Strany do

386

Strany počet

8

URL

http://webu3.vgtu.lt/uni/stf/mbmst/379-386_MBMST_142.pdf

BibTex

@inproceedings{BUT161423,
  author="Pavel {Koudela} and Juraj {Chalmovský}",
  title="Automation of calibration process adopting metaheuristic optimization method",
  booktitle="MODERN BUILDING MATERIALS, STRUCTURES AND TECHNIQUES MBMST 2019",
  year="2019",
  journal="Modern Building Materials, Structures and Techniques",
  pages="379--386",
  publisher="VGTU Press",
  address="Vilnius",
  doi="10.3846/mbmst.2019.142",
  isbn="978-609-476-197-3",
  issn="2029-9915",
  url="http://webu3.vgtu.lt/uni/stf/mbmst/379-386_MBMST_142.pdf"
}